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Titlebook: Job Scheduling Strategies for Parallel Processing; IPPS ‘95 Workshop, S Dror G. Feitelson,Larry Rudolph Conference proceedings 1995 Springe

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书目名称Job Scheduling Strategies for Parallel Processing
副标题IPPS ‘95 Workshop, S
编辑Dror G. Feitelson,Larry Rudolph
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Job Scheduling Strategies for Parallel Processing; IPPS ‘95 Workshop, S Dror G. Feitelson,Larry Rudolph Conference proceedings 1995 Springe
描述This volume contains the papers selected after a very careful refereeing process for presentation during the Workshop on Job Scheduling Stategies for Parallel Processing, held in Santa Barbara, California, as a prelude to the IPPS ‘95 conference in April 1995..The 19 full papers presented demonstrate that parallel job scheduling takes on a crucial role as multi-user parallel supercomputers become more widespread. All aspects of job scheduling for parallel systems are covered, from the perspectives of academic research, industrial design of parallel systems, as well as user needs. Of particular interest, also for nonexpert readers, is the introductory paper "Parallel Job Scheduling: Issues and Approaches" by the volume editors.
出版日期Conference proceedings 1995
关键词Job Scheduling; Load Balancing; Multi-User Operating Systems; Multi-user Betriebssysteme; Parallel Opera
版次1
doihttps://doi.org/10.1007/3-540-60153-8
isbn_softcover978-3-540-60153-1
isbn_ebook978-3-540-49459-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1995
The information of publication is updating

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A scalable multi-discipline, multiple-processor scheduling framework for IRIX,s the standard features and behavior expected of any UNIX time-sharing system, while adding support for four additional disciplines: a fast-response scheme for lowlatency real-time computing, a time-based regime for throughputoriented real-time computing, a multi-thread scheme for parallel computing
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Scheduling to reduce memory coherence overhead on coarse-grain multiprocessors,ently replicating remote data in the processes‘ local memories. This automatic replication of data can impose substantial memory system overhead on an application since all replicated data must be kept coherent. We examine the effect of task scheduling on data replication and memory system overhead
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Multiprocessor scheduling for high-variability service time distributions,n, for the most part, designed and evaluated for workloads having relatively low variability in service demand. But with reports that variability in service demands at high performance computing centers can actually be quite high, these disciplines must be reevaluated. In this paper, we examine the
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The interaction between memory allocation and adaptive partitioning in message-passing multicompute the memory requirements of the jobs. In this paper, we first show that these constraints can have a negative impact on the performance of adaptive partitioning policies. We then evaluate the performance of adaptive partitioning in a system where these minimum processor constraints are eased due to
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Loop-Level Process Control: An effective processor allocation policy for multiprogrammed shared-memmance of individual applications might be sacrificed due to the high overhead of context switching, due to the processing power wasted by busy-waiting synchronization and locking operations, and due to poor cache memory utilization. In this paper, we propose a simple and effective processor allocati
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